Single-ended self-calibrating Raman-based distributed temperature sensing based on multi-core fiber

Autor:	Haoze Du, Ming Tang, Hao Wu, Zhongshu Zhang
Rok vydání:	2021
Předmět:	Materials science Optical fiber Artificial neural network business.industry Convolutional neural network law.invention Light intensity symbols.namesake law symbols Optoelectronics Fiber business Raman spectroscopy Image resolution Raman scattering
Zdroj:	Conference on Lasers and Electro-Optics.
Popis:	A multi-core fiber based single-ended self-calibrating Raman distributed temperature sensing system is proposed. A deep one-dimensional denoising convolutional neural network is employed to improve its SNR. 1.4 °C temperature uncertainty was achieved at 10km distance.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b0f0f57ab3dd0bb611d7653635316093 https://doi.org/10.1364/cleo_at.2021.ath2s.1 Zobrazit plný text záznamu